GMM-UBM Based Speaker Verification in Multilingual Environments
Speaker verification system shows poor performance when speaker model training is done in one language and the testing in another language. This is a major problem in multilingual speaker verification system. In this paper, we report the experiment carried out on a recently collected multilingual and multichannel speaker recognition database to study the impact of language variability on speaker verification system. The speech database consists of speech data recorded from 200 speakers with Arunachali languages of North-East India as mother tongue. The speech samples are collected in three different languages English, Hindi and a local language of Arunachal Pradesh. The collected database is evaluated with Gaussian Mixture Model based speaker verification system using universal background model (UBM) for alternative speaker representation and Mel-Frequency Cepstral Coefficients (MFCC) as a front end feature vectors. The impact of the mismatch in training and testing languages have been evaluated.
Keywords: Speaker Verification, Multilingual, GMM-UBM, MFCC
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ABOUT THE AUTHORS
Utpal Bhattacharjee
Utpal Bhattacharjee received his Master of Computer Application (MCA) from Dibrugarh University, India and Ph.D. from Gauhati University, India in the year 1999 and 2008 respectively. Currently he is working as an Associate Professor in the department of Computer Science and Engineering of Rajiv Gandhi University, India. His research interest is in the field of Speech Processing and Robust Speech/Speaker Recognition.
Kshirod Sarmah
Kshirod Sarmah received his Master of Science (M.Sc.) in Computer Science from Gauhati University, India in the year 2004. Currently he is pursuing his Ph.D. in Computer Science from Rajiv Gandhi University, India. His research interest is in the field of Speech Processing and Robust Speaker Recognition.
Utpal Bhattacharjee
Utpal Bhattacharjee received his Master of Computer Application (MCA) from Dibrugarh University, India and Ph.D. from Gauhati University, India in the year 1999 and 2008 respectively. Currently he is working as an Associate Professor in the department of Computer Science and Engineering of Rajiv Gandhi University, India. His research interest is in the field of Speech Processing and Robust Speech/Speaker Recognition.
Kshirod Sarmah
Kshirod Sarmah received his Master of Science (M.Sc.) in Computer Science from Gauhati University, India in the year 2004. Currently he is pursuing his Ph.D. in Computer Science from Rajiv Gandhi University, India. His research interest is in the field of Speech Processing and Robust Speaker Recognition.
